使用微型传感器优化海底管道在线检查的清洁作业

A. D. Lullo, C. Passucci, K. Hester, R. Zaffaroni, R. Reinhart
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引用次数: 0

摘要

管道在线检查要求对管道内壁进行适当的清洗。在此描述的30公里12英寸海上管线的案例中,预计会有大量蜡沉积,在进行了一系列较不具侵略性的清管器之后,部署了一系列液压机械清洗工具。通常情况下,清洁过程的进度仅由清洁工具和接收陷阱的到达情况来监测。为了改进工艺,在现场直接将小型压力、温度和加速度传感器添加到清洗工具中,而无需对清洗设备进行任何修改,也不会带来任何额外的风险或操作影响。在每个仪器清洗工具后,传感器数据被快速分析,并导致选择最合适的后续工具。通过这种方式,观察到清管器的状况和收集到的物料量并不能完全表明管道的真实清洁状态,而传感器提供了更清晰的图像。因此,在猪的数量和类型上优化了猪序列,并且成功地进行了智能猪运行,没有出现任何问题或数据丢失。这些微型传感器的优势是液压机械清管器设计中没有预见到的,它们可以应用于几乎所有的清管器,几乎不需要修改。该信息可用于多种方式,包括检测流动限制(凹痕、沉积物),也可用于在有限的先验信息下重新创建线高程、剖面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Miniaturized Sensors to Optimize Cleaning Operations for In-Line Inspection of a Subsea Pipeline
Pipeline in-line inspection requires a proper cleaning of the pipeline inner walls. In the case hereby described of a 30km 12" offshore line, a significant amount of wax deposits was expected and a series hydro-mechanical cleaning tools were deployed, after a preliminary series of less aggressive pigs. Normally, the progress of the cleaning process is monitored only by the arrival conditions of the cleaning tools and of the receiving trap. To improve the process, miniaturized pressure, temperature and acceleration sensors were added to the cleaning tools, directly in the field, without any modifications to the cleaning devices and without introducing any additional risks or operating impact. After each instrumented cleaning tool, the sensor data were quickly analyzed and led to the selection of most suitable subsequent tool. In this way, it was observed that the pig conditions and the amount of material collected in the receiving trap did not fully indicate the true cleaning status of the pipeline, while the sensors provided a clearer picture. The pig sequence was thus optimized in number and type of pigs and the intelligent pig run was preformed successfully with no issues or data loss. The advantage of these tiny sensors, not foreseen in the hydro-mechanical pig design, is that they can be applied to almost any pig with minimal-to-no modifications. This information can be used in a number of ways, including detection of flow restrictions (dents, deposits), and can also be used to re-create the line elevation, profile with limited a priori information.
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